The Huber group develops statistical data analysis and machine learning methods for modern biotechnologies, applies them to biological and biomedical discovery, then translates methods and ideas into reusable tools by engaging in open source software communities. You can apply for one of two tracks: Method development in statistical computing and bioinformatics, Biological discovery through integrative data analysis (“dry biology”).

Research Focus / Keywords

Computational biology, statistics, machine learning